Journal of Animal Breeding and Genomics (J Anim Breed Genom)
Indexed in KCI
OPEN ACCESS, PEER REVIEWED
pISSN 1226-5543
eISSN 2586-4297
Research Article

Identification of SNPs and microRNAs in the massively wholegenome sequencing data of Korean native cattle

1School of Biotechnology, Hankyong National University, Gyeonggi-do, Anseong, 17579, Republic of Korea
2Center for Genetic Information, Hankyong National University, Gyeonggi-do, Anseong, 17579, Republic of Korea

Correspondence to Yoonseok Lee, E-mail: yoonseok95@hknu.ac.kr

Volume 7, Number 2, Pages 25-35, June 2023.
Journal of Animal Breeding and Genomics 2023, 7(2), 25-35. https://doi.org/10.12972/jabng.20230004
Received on 17 May, 2023, Revised on 17 May, 2023, Accepted on 26 June, 2023, Published on 30 June, 2023.
Copyright © 2023 Korean Society of Animal Breeding and Genetics.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0).

ABSTRACT

This study aims to enhance the accuracy of genome selection for economic traits in Korean native cattle through the identification of single nucleotide polymorphisms (SNPs) located in microRNA sequences associated with lipid metabolism. We assembled and mapped the Hanwoo genome using whole-genome sequencing data from the NCBI’s Sequence Read Archive and the National Institute of Animal Science. This allowed us to discover a total of 25,982,458 variants (21,795,577 SNPs and 4,186,881 Indels). Annotation revealed that a significant number of these variants were located in intergenic and intronic regions, while others were found to alter the DNA, creating amino acid substitutions, premature stop codons, or silent mutations. A high proportion of variants were observed in the protein coding regions and miRNA, with 24 and 74,205 variants identified in Impact_LOW and Impact_MODIFIER, respectively. In addition, we identified 18 putative miRNAs that were differentially expressed in subcutaneous and intramuscular fat tissues. Especially, bta-mir-143 and bta-mir-145 were highly expressed in intramuscular fat tissue. These results could support the impact on the potential regulatory roles of miRNAs in bovine adipogenesis, and could prove beneficial for improving the accuracy of Hanwoo breeding programs.

KEYWORDS

Korean native cattle, MicroRNA, Single nucleotide polymorphism, Whole-genome sequence, Lipid metabolism

ACKNOWLEDGEMENTS

We are also grateful to the members of our research team who actively participated in data collection, analysis, and discussion. Their diligent efforts and expertise significantly contributed to the success of this project. Furthermore, we extend our thanks to the National Institute of Animal Science for providing the Hanwoo sequencing data that enabled us to carry out this research.

REFERENCES

Broughton JP, Lovci MT, Huang JL, Yeo GW, Pasquinelli AE. 2016. Pairing beyond the Seed Supports MicroRNA Targeting Specificity. Mol Cell. 64: 320-33. doi: 10.1016/j.molcel.2016.09.004
[DOI][PubMed][PMC]

Choi JW, Liao X, Stothard P, Chung WH, Jeon HJ, Miller SP, Choi SY, Lee JK, Yang B, Lee KT, Han KJ, Kim HC, Jeong D, Oh JD, Kim N, Kim TH, Lee HK, Lee SJ. 2014. Whole-Genome Analyses of Korean Native and Holstein Cattle Breeds by Massively Parallel Sequencing. PloS one. 9(7): e101127. doi: 10.1371/journal.pone.0101127
[DOI][PubMed][PMC]

Choi JW, Choi BH, Lee SH, Lee SS, Kim HC, Yu DY, Chung WH, Lee KT, Chai HH, Cho YM, Lim DJ. 2015. Whole-Genome Resequencing Analysis of Hanwoo and Yanbian cattle to identify genome-wide SNPs and signatures of selection. Mol. Cells. 38(5): 466-473. doi: 10.14348/molcells.2015.0019
[DOI][PubMed][PMC]

Cingolani P, Platts A, Wang le L, Coon M, Nguyen T, Wang L, Land SJ, Lu X, Ruden DM. 2012. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 6(2): 80-92. doi: 10.4161/fly.19695
[DOI][PubMed][PMC]

Das A, Gupta MD, Shaha M, Lima A, Miazi OF, Das GB. 2023. Whole genome sequencing of Red Chittagong Cattle (RCC) cattle and insight into genetic variants in candidate genes for disease resistance. BioRxiv. In press. doi: 10.1101/2023.01.09.523278
[DOI]

Guo Y, Chen Y, Zhang Y, Zhang Y, Chen L, Mo D. 2012. Up-regulated miR-145 expression inhibits porcine preadipocytes differentiation by targeting IRS1. Int J Biol Sci.. 8(10):1408-17. doi: 10.7150/ijbs.4597.
[DOI][PubMed][PMC]

Ha M, Kim VN. 2014. Regulation of microRNA biogenesis. Nat Rev Mol Cell Biol. 15: 509-24. doi: 10.1038/nrm3838
[DOI][PubMed]

Hayes J, Peruzzi PP, Lawler S. 2014. MicroRNAs in cancer: biomarkers, functions and therapy. Trends Mol Med. 20:460-9. doi: 10.1016/j.molmed.2014.06.005
[DOI][PubMed]

He Z, Yu J, Zhou C, Ren G, Cong P, Mo D, Chen Y, Liu X. 2013. MiR-143 is not essential for adipose development as revealed by in vivo antisense targeting. Biotechnol. Lett. 35(4): 499-507. doi: 10.1007/s10529-012-1112-3
[DOI][PubMed]

Huang W. 2017. MicroRNAs: biomarkers, diagnostics, and therapeutics. Methods Mol Biol. 1617:57-67. doi: 10.1007/978-1-4939-7046-9_4
[DOI][PubMed]

Ibañez-Escriche N, Gonzalez-Recio O. 2011. Review. Promises, pitfalls and challenges of genomic selection in breeding programs. Spanish Journal of Agricultural Research. 9(2): 404-413. doi: 10.5424/sjar/20110902-447-10
[DOI]

Iqbal N, Liu X, Yang T, Huang Z, Hanif Q, Asif M, Khan QM, Mansoor S. 2019. Genomic variants identified from whole-genome resequencing of indicine cattle breeds from Pakistan. PLoS One. 14(4): e0215065. doi: 10.1371/journal.pone.0215065.
[DOI][PubMed][PMC]

Lee J, Kim JM, Garrick DJ. 2019. Increasing the accuracy of genomic prediction in pure-bred Limousin beef cattle by including cross-bred Limousin data and accounting for an F94L variant in MSTN. Animal genetics, 50(6): 621-633. doi: 10.1111/age.12846
[DOI][PubMed]

Lee KT, Chung WH, Lee SY, Choi JW, Kim JW, Lim DJ, Lee SH, Jang GW, Kim BS, Choy YH, Liao X, Paul Stothard, Stephen S Moore, Lee SH, Ahn SM, Kim NS, Kim TH. 2013. Whole-genome resequencing of Hanwoo (Korean cattle) and insight into regions of homozygosity. BMC Genomics. 14: 519. doi: 10.1186/1471-2164-14-519
[DOI][PubMed][PMC]

Lee SH, Cho YM, Lee JH, Oh SJ. 2015. Implementation of genomic selection in Hanwoo breeding program. Institute of Agricultural Science. 42(4): 397-406. doi: 10.7744/CNUJAS.2015.42.3.397
[DOI]

Li H, Zhang Z, Zhou X, Wang Z, Wang G, Han Z. 2011. Effects of microRNA-143 in the differentiation and proliferation of bovine intramuscular preadipocytes. Mol Biol Rep. 38: 4273-4280. doi: 10.1007/s11033-010-0550-z
[DOI][PubMed]

Lopez BI, Lee SH, Park JE, Shin, DH, Oh JD, de Las Heras-Saldana S, van der Werf J, Chai HH, Park W, Lim D. 2019. Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. Genes(Basel). 10(12): 1019. doi: 10.3390/genes10121019
[DOI][PubMed][PMC]

Lopez BIM, An N, Srikanth K, Lee S, Oh JD, Shin DH, Park W, Chai HH, Park JE, Lim D. 2021. Genomic Prediction Based on SNP Functional Annotation Using Imputed Whole-Genome Sequence Data in Korean Hanwoo Cattle. Frontiers in genetics. 11: 603822. doi: 10.3389/fgene.2020.603822
[DOI][PubMed][PMC]

Makarova JA, Shkurnikov MU, Wicklein D, Lange T, Samatov TR, Turchinovich AA,Tonevitsky AG. 2016. Intracellular and extracellular microRNA: An update on localization and biological role. Progress in histochemistry and cytochemistry. 51(3-4): 33-49. doi: 10.1016/j.proghi.2016.06.001
[DOI][PubMed]

Mei C, Gui L, Hong J, Raza SHA, Aorigele C, Tian W, Garcia M, Xin Y, Yang W, Zhang S, Zan L. 2021. Insights into adaption and growth evolution: a comparative genomics study on two distinct cattle breeds from Northern and Southern China. Molecular Therapy. Nucleic Acids. 23: 959-967. doi: 10.1016/j.omtn.2020.12.028
[DOI][PubMed][PMC]

Romao JM, Jin W, He M, McAllister T, Guan LL. 2012. Altered microRNA expression in bovine subcutaneous and visceral adipose tissues from cattle under different diet. PLoS ONE. 7(7): e40605. doi: 0.1371/journal.pone.0040605
[DOI][PubMed][PMC]

Sun T, Fu M, Bookout AL, Kliewer SA, Mangelsdorf DJ. 2009. MicroRNA let-7 regulates 3T3-L1 adipogenesis. Mol Endocrinol. 23(6): 925-931. doi: 10.1210/me.2008-0298
[DOI][PubMed][PMC]

Takanabe R, Ono K, Abe Y, Takaya T, Horie T, Wada H, Kita T, Satoh N, Shimatsu A, Hasegawa K. 2008. Up-regulated expression of microRNA-143 in association with obesity in adipose tissue of mice fed high-fat diet. Biochem Biophys Res Commun. 376(4): 728-732. doi: 10.1016/j.bbrc.2008.09.050
[DOI][PubMed]

VanRaden PM. 2008. Efficient methods to compute genomic predictions. Journal of Dairy Science. 91(11): 4414-23. doi: 10.3168/ jds.2007-0980
[DOI][PubMed]

Vasudevan S. 2012. Posttranscriptional upregulation by microRNAs. Wiley Interdiscip Rev RNA. 3:311-30. doi: 10.1002/wrna.121
[DOI][PubMed]

Wang J, Chen J, Sen S. 2016. MicroRNA as Biomarkers and Diagnostics. J Cell Physiol. 231:25-30. doi: 10.1002/jcp.25056
[DOI][PubMed][PMC]

Wang HY, Zheng Y, Wang GL, Li HX. 2013. Identification of microRNA and bioinformatics target gene analysis in beef cattle intramuscular fat and subcutaneous fat. Mol. Biosyst. 9: 2154-2162. doi: 10.1039/C3MB70084D
[DOI][PubMed]

Wang HY, Xiao SH, Wang M, Kim NH, Li HX, Wang GL. 2015. In silico identification of conserved microRNAs and their targets in bovine fat tissue. Gene. 559(2):119-128. doi: 10.1016/j.gene.2015.01.021
[DOI][PubMed]

Xiang R, MacLeod IM, Daetwyler HD, de Jong G, O’Connor E, Schrooten C, Chamberlain A, Goddard M. 2021. Genomewide fine-mapping identifies pleiotropic and functional variants that predict many traits across global cattle populations. Nat Commun. 12: 860. doi: 10.1038/s41467-021-21001-0
[DOI][PubMed][PMC]

Section